Forecasting-Based Production Planning System to Improve PPLH Performance in Extrusion Manufacturing Using Power BI
Date
Authors
Advisor
Publisher
Polytechnic University of Puerto Rico
Item Type
Article
Poster
Poster
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Abstract
This study focuses on improving labor productivity control in an extrusion manufacturing environment by addressing inefficiencies in aligning production volume with operational hours. The objective of this research is to develop a forecasting-based production planning system that improves Pounds Per Labor Hour (PPLH) performance. The methodology includes analysis of historical production data and development of a data-driven model using Power BI. Results indicate that aligning labor scheduling with production demand improves utilization and stabilizes productivity. The findings demonstrate that data-driven planning enhances operational efficiency.
Description
Design Project Article for the Graduate Programs at the Polytechnic University of Puerto Rico. Includes a graduate project poster summarizing the research through concise text and visuals derived from the same study.
Keywords
Extrusion Manufacturing, Forecasting, PPLH, Production Planning
Citation
Montoya Villalta, P. (2026). Forecasting-Based Production Planning System to Improve PPLH Performance in Extrusion Manufacturing Using Power BI [Graduate project poster]. Graduate School, Polytechnic University of Puerto Rico. Puerto Rico Cloud Repository (PRCR). https://hdl.handle.net/20.500.12475/3380